Cargando…
The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned
BACKGROUND: To our best knowledge, this was the first time to investigate the prevalence and risk factors of psychological disturbances, including depression, anxiety, somatization symptoms, insomnia and suicide, among frontline medical staff, who were working with the COVID-10 infected patients dir...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448730/ https://www.ncbi.nlm.nih.gov/pubmed/32882508 http://dx.doi.org/10.1016/j.jad.2020.08.059 |
_version_ | 1783574532454350848 |
---|---|
author | Zhou, Yongjie Wang, Wenjuan Sun, Yanping Qian, Wei Liu, Zhengkui Wang, Ruoxi Qi, Ling Yang, Jiezhi Song, Xiuli Zhou, Xin Zeng, Lingyun Liu, Tiebang Li, Zezhi Zhang, Xiangyang |
author_facet | Zhou, Yongjie Wang, Wenjuan Sun, Yanping Qian, Wei Liu, Zhengkui Wang, Ruoxi Qi, Ling Yang, Jiezhi Song, Xiuli Zhou, Xin Zeng, Lingyun Liu, Tiebang Li, Zezhi Zhang, Xiangyang |
author_sort | Zhou, Yongjie |
collection | PubMed |
description | BACKGROUND: To our best knowledge, this was the first time to investigate the prevalence and risk factors of psychological disturbances, including depression, anxiety, somatization symptoms, insomnia and suicide, among frontline medical staff, who were working with the COVID-10 infected patients directly. METHODS: Patient Health Questionnaire Depression (PHQ-9), Generalized Anxiety Disorder Questionnaire scale (GAD-7), Symptom Check List-90 (SCL-90) somatization, Insomnia Severity Index (ISI), and the suicidal module of the Mini International Neuropsychiatric Interview were used for online survey. RESULTS: A total of 606 frontline hospital staff and1099 general population were recruited. The prevalence of depression, anxiety, somatization symptoms, insomnia, and suicide risk in frontline medical staffs were 57.6%, 45.4%, 12.0%, 32.0% and 13.0%, respectively. Except for suicide risk, the prevalence of other psychological disorders in frontline medical staff were higher than those in general population (all p<0.01). Among the frontline medical staff, the daily working hours were associated with all psychological disturbance (all p<0.01), women with anxiety (p = 0.02), body mass index (BMI) with anxiety and insomnia (p = 0.02, p = 0.03). Age was negatively associated with depression, anxiety, and insomnia (all p<0.01). Finally, years of working and family income were negatively associated with suicide risk (p = 0.03, p<0.001). CONCLUSION: Our study demonstrates that during the outbreak of COVID-19, the frontline medical staff are more likely to suffer from psychological disturbances than general population. It is noticeable that daily working hours are a risk factor for all measured psychological disturbances, and some other variables may be involved in certain psychological disturbances of frontline medical staff. |
format | Online Article Text |
id | pubmed-7448730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74487302020-08-27 The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned Zhou, Yongjie Wang, Wenjuan Sun, Yanping Qian, Wei Liu, Zhengkui Wang, Ruoxi Qi, Ling Yang, Jiezhi Song, Xiuli Zhou, Xin Zeng, Lingyun Liu, Tiebang Li, Zezhi Zhang, Xiangyang J Affect Disord Research Paper BACKGROUND: To our best knowledge, this was the first time to investigate the prevalence and risk factors of psychological disturbances, including depression, anxiety, somatization symptoms, insomnia and suicide, among frontline medical staff, who were working with the COVID-10 infected patients directly. METHODS: Patient Health Questionnaire Depression (PHQ-9), Generalized Anxiety Disorder Questionnaire scale (GAD-7), Symptom Check List-90 (SCL-90) somatization, Insomnia Severity Index (ISI), and the suicidal module of the Mini International Neuropsychiatric Interview were used for online survey. RESULTS: A total of 606 frontline hospital staff and1099 general population were recruited. The prevalence of depression, anxiety, somatization symptoms, insomnia, and suicide risk in frontline medical staffs were 57.6%, 45.4%, 12.0%, 32.0% and 13.0%, respectively. Except for suicide risk, the prevalence of other psychological disorders in frontline medical staff were higher than those in general population (all p<0.01). Among the frontline medical staff, the daily working hours were associated with all psychological disturbance (all p<0.01), women with anxiety (p = 0.02), body mass index (BMI) with anxiety and insomnia (p = 0.02, p = 0.03). Age was negatively associated with depression, anxiety, and insomnia (all p<0.01). Finally, years of working and family income were negatively associated with suicide risk (p = 0.03, p<0.001). CONCLUSION: Our study demonstrates that during the outbreak of COVID-19, the frontline medical staff are more likely to suffer from psychological disturbances than general population. It is noticeable that daily working hours are a risk factor for all measured psychological disturbances, and some other variables may be involved in certain psychological disturbances of frontline medical staff. Elsevier B.V. 2020-12-01 2020-08-26 /pmc/articles/PMC7448730/ /pubmed/32882508 http://dx.doi.org/10.1016/j.jad.2020.08.059 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Paper Zhou, Yongjie Wang, Wenjuan Sun, Yanping Qian, Wei Liu, Zhengkui Wang, Ruoxi Qi, Ling Yang, Jiezhi Song, Xiuli Zhou, Xin Zeng, Lingyun Liu, Tiebang Li, Zezhi Zhang, Xiangyang The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned |
title | The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned |
title_full | The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned |
title_fullStr | The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned |
title_full_unstemmed | The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned |
title_short | The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned |
title_sort | prevalence and risk factors of psychological disturbances of frontline medical staff in china under the covid-19 epidemic: workload should be concerned |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448730/ https://www.ncbi.nlm.nih.gov/pubmed/32882508 http://dx.doi.org/10.1016/j.jad.2020.08.059 |
work_keys_str_mv | AT zhouyongjie theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT wangwenjuan theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT sunyanping theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT qianwei theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT liuzhengkui theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT wangruoxi theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT qiling theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT yangjiezhi theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT songxiuli theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zhouxin theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zenglingyun theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT liutiebang theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT lizezhi theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zhangxiangyang theprevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zhouyongjie prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT wangwenjuan prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT sunyanping prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT qianwei prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT liuzhengkui prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT wangruoxi prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT qiling prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT yangjiezhi prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT songxiuli prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zhouxin prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zenglingyun prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT liutiebang prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT lizezhi prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned AT zhangxiangyang prevalenceandriskfactorsofpsychologicaldisturbancesoffrontlinemedicalstaffinchinaunderthecovid19epidemicworkloadshouldbeconcerned |